Cited by 111Atherosclerosis and Cardiovascular DiseasesNanoparticle-Based Drug DeliveryCholesterol and Lipid Metabolism

Sugar-based amphiphilic nanoparticles arrest atherosclerosis in vivo

Open access
Lewis, Daniel R., Petersen, Latrisha K., York, Adam W., Zablocki, Kyle R., Joseph, Laurie B., Kholodovych, Vladyslav, Prud’homme, Robert K., Uhrich, Kathryn E. +1 more·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Lipid-rich plaques in major blood vessels recruit macrophages that further exacerbate the lipid burden and risk of heart attacks or stroke. A local approach to prevent plaque growth has yet to be successfully deployed. In this study, we examine how synthetic ligands counteract macrophage atherogenesis and de-escalate plaque burden. Using a library of sugar-based amphiphilic core-shell layered nanoparticles, we demonstrate the design principles necessary to prevent oxidized lipid uptake and suppress scavenger receptor expression in macrophages, switching them to an “atheroprotective” phenotype. When administered in vivo, nanoparticles were retained at atherosclerotic lesions, where they mitigated cholesterol clefts, inflammation, and artery occlusion. Thus, synthetic nanomedicines could be used to potentially treat acute coronary syndrome, a major unmet need in cardiovascular diseases.

Integrity signals

Registry

Crossref · 10.1073/pnas.1424594112

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Lewis, D. R., Petersen, L. K., York, A. W., Zablocki, K. R., Joseph, L. B., Kholodovych, V., Prud’homme, R. K., Uhrich, K. E., & Moghe, P. V.
Affiliations
  • Department of Chemical & Biochemical Engineering,
  • Department of Biomedical Engineering,
  • Department of Pharmacology,
  • Rutgers, The State University of New Jersey (US)
  • Princeton University (US)
  • Department of Chemistry and Chemical Biology, and
Venue
Proceedings of the National Academy of Sciences
Published
2015-02-17
Volume
112
Issue
9
Pages
2693-2698
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2008371536
Cited by
111
References
35
Citations by year
2026: 2 · 2025: 3 · 2024: 11 · 2023: 7 · 2022: 11 · 2021: 13 · 2020: 9 · 2019: 12 · 2018: 12 · 2017: 11 · 2016: 12 · 2015: 8
FWCI
7.07
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • HHS | NIH | National Heart, Lung, and Blood Institute (R01HL107913, R21HL93753)
  • HHS | NIH | National Institute of Biomedical Imaging and Bioengineering (EB005583)
  • HHS | NIH | National Institute of General Medical Sciences (T32GM008339)
  • HHS | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (U54AR055073)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
Keywords
atherosclerosis, core-shell nanoparticles, macrophages, scavenger receptors, MSR1, CD36, foam cells, atherosclerotic plaque, intimal hyperplasia, nanomedicine, hyperlipidemia, metabolic syndrome
MeSH terms
Animals, Carbohydrates, Humans, Hyperplasia, Lipids, Macrophages, Oxidation-Reduction, Mice, Knockout, CD36 Antigens, Atherosclerosis, Scavenger Receptors, Class A, Mice, Nanoparticles, Plaque, Atherosclerotic, Neointima

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review